About Us

We are dMetrics, an AI company founded by two MIT PhDs. Our work is based on three ideas:

Domain experts know best what's right for them. You, not ML engineers, are in charge.

No single AI will control the world; millions of people will train millions of AIs.

To have real impact, AI must be a democracy.

Our innovations in natural language processing lie at the core of a state-of-the-art NLP architecture for analyzing large collections of unstructured text. dMetrics clients include some of the largest pharmaceutical and financial companies, as well as ad agencies that serve them. Our team is comprised of some of the world's top authorities in machine learning (ML) and NLP. dMetrics' investors include Nicholas Negroponte (founder of the MIT Media Lab and One Laptop Per Child), Evan Schulman (commonly known as one of the "fathers of electronic trading"), John Johnson (president of BuzzFeed), and other industry leaders.

Leadership

Paul Nemirovsky, PhD

Co-founder and CEO

Paul is the cofounder and CEO of dMetrics, a company that places AI in the hands of every business user. Paul leads dMetrics’ strategic development and oversees the company’s commercial efforts. Supported by a team of award-winning natural language processing (NLP) experts, dMetrics serves some of the world’s largest pharmaceutical, banking, and insurance firms. Prior to dMetrics, Paul has launched and led many projects in the field of Human Computer Interaction, in startups, at MIT, and in partnership with Fortune 500 companies. He is the author of 15 academic publications, 3 book chapters, as well as numerous musical compositions and interactive exhibits. His work has been exhibited at Centre Pompidou, Decordova Museum, and other venues. Paul received his doctorate from MIT, where he focused on machine learning and information retrieval with applications to audio, video, and text.

Ariadna is the cofounder & CTO of dMetrics. Ariadna leads dMetrics’ technical team and is responsible for our technical strategy. She received her PhD in Computer Science from MIT in 2009 and has worked as a Research Scientist at Xerox Research Centre Europe and the Technical University of Catalonia, focused on Machine Learning with applications to NLP and information extraction. Her current research focuses on structured prediction, latent variable models and interactive machine learning, which power the dMetrics NLP architecture. Ariadna publishes in top NLP and ML conferences and journals. She is the author of more than 40 papers who have been cited >3,400 times. She is the recipient of a best paper award from the top European NLP conference (EACL) and has received several grant awards from the Spanish government and the EU. She is an active participant and leader of many international NLP and ML conferences, including machine learning area chair for EMNLP 2016, ACL 2018, and NIPS 2017.

Gabriele serves as dMetrics Director of Research. In this role, he initiates and executes core research tasks in statistical NLP. Gabriele holds a PhD in Computer Science from the University of Geneva, where he also completed his undergraduate studies in logic and linguistics, and was a postdoctoral research associate at FBK-irst. Gabriele has also served as Senior Lecturer at the University of Geneva, teaching the applications of deep learning to NLP. His research work has focused on data-driven statistical techniques for learning deep relationships between different levels of representation of linguistic data. In particular, he codeveloped the first recurrent neural network to jointly parse syntactic and semantic structures. His work on structure prediction models integrating latent states and shallow semantic information has been published in the most highly regarded academic conference proceedings and journals in the field. His current research focuses on integrating interactive machine learning and representation learning, to make the process of teaching machines near real-time, collaborative, effective, and accessible to any end user.

Xavier is a senior researcher at dMetrics. Xavier holds a Ph.D. (2005) from the Technical University of Catalonia (UPC) in Barcelona, where he also completed his undergraduate studies in CS. After a postdoc at MIT, he served as a research scientist at the UPC under the Ramon y Cajal program, and research scientist at Xerox Research Centre Europe (XRCE) in France. He is the author of over 90 papers that have been cited 4,500+ times. His research expertise is in the areas of NLP and ML, with special focus in ML and deep learning methods for NLP, syntactic and semantic parsing, information extraction, machine translation, and dialogue systems. Xavier has published in top-tier conferences and journals, and received the best paper award at CoNLL 2008 and EACL 2012. Xavier served as program co-chair of EMNLP 2016 (one of the two major conferences in NLP) and CoNLL 2009, and over the last 10 years he has served regularly in the program committees of all major conferences and journals. He currently serves as action editor of TACL.

Robert has worked for 30 years as an executive and investor in software and technology services companies. Prior to joining dMetrics, he was an active angel investor and managing partner of Bulger Partners, a software-focused growth equity fund and strategic advisory firm. Previously, Robert was the cofounder and President of Predictive Systems (NASD:PRDS), a global network technology services company. He holds a BS in Computer Science from New York University. Robert is a member of the arts committee of City Parks Foundation, organizing Summerstage and over 1,200 music, dance and theater performances each year in NYC parks.